Optimum power allocation in sensor network for active radar application

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OPTIMUM POWER ALLOCATION IN SENSOR NETWORK
FOR ACTIVE RADAR APPLICATION
ABSTRACT
We investigate the power allocation problem in distributed sensor networks
that are used for target object classification. In the classification process, the
absence, the presence, or the type of a target object is observed by the sensor nodes
independently. Since these local observations are noisy and thus unreliable, they
are fused together as a single reliable observation at a fusion center. The fusion
center uses the best linear unbiased estimator to accurately estimate the reflection
coefficient of target objects. We utilize the average deviation between the
estimated and the actual reflection coefficient as a metric for defining the objective
function. First, we demonstrate that the corresponding optimization of the power
allocation leads to a signomial program which is in general quite hard to solve.
Nonetheless, by using the proposed system model, fusion rule and objective
function, we are able to optimize the power allocation analytically and can hence
present a closed-form solution. Since the power consumption of the entire network
may be limited in various aspects, three different cases of power constraints are
discussed and compared with each other. In addition, a sensitivity analysis of the
optimal power allocation with respect to perfect and imperfect parameter
knowledge is worked out.

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ARCHITECTURE
Distributed sensor network
EXISTING SYSTEM
In existing system local observations where used. They are fused together as
a single reliable observation at a fusion center. The fusion center uses the best
linear unbiased estimator to accurately estimate the reflection coefficient of target
objects.
We utilize the average deviation between the estimated and the actual
reflection coefficient as a metric for defining the objective function. First, we
demonstrate that the corresponding optimization of the power allocation leads to a
signomial program which is in general quite hard to solve.

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DRAWBACK OF EXISTING SYSTEM
 Since these local observations are noisy and thus unreliable.
 Hard to solve the problem for signomial.
PROPOSED SYSTEM
In proposed system model, fusion rule and objective function, we are able to
optimize the power allocation analytically. Since the power consumption of the
entire network may be limited in various aspects.
ADVANTAGE OF PROPOSED SYSTEM
 Each sensor node (SN) individually and independently.
 The particular observations serve as classification feature in order to classify
the type of the present target object.
 They are combined into a single reliable. So it increases the overall system
performance.
 The fusion center uses the best linear reflection coefficient of the present
target object approximate solution.
SYSTEM SPECIFICATION
Hardware Requirements
System : Pentium IV 2.4 GHz
Hard Disk : 40 GB

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Monitor : 15 VGA Colour
Mouse : Logitech
Ram : 512 Mb
Software Requirements
Operating system : Windows XP
Technology Used : Microsoft .NET
Backend Used : SQL Server

Optimum power allocation in sensor network for active radar application

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